APIs have become the de-facto standard in building and running modern applications. They are an integral part of the automation workflow of any business and as more users rely on your APIs to power their applications, the need for them to be reliable is important. Any degradation in their health, availability, and performance will impact your business, so ensuring its reliability depends on proactively monitoring your APIs.

Let’s say you get an alert that one or more queries is slow. Or that your users complain, whichever comes first 🙂 We’ve all been there… How do you find the root cause for this slowness and then fix it? In this article, I’ll go through my usual thought process: first, I’d try to find which queries are slow. Then, I’d dig deeper: Let’s take a specific example and run through each step.

A large amount of data requires special tools. Apache Cassandra is one of those databases that can handle a large amount of data spread among many commodity servers, providing high availability and fault tolerance without a single point of failure. Developed under the umbrella of Apache Software Foundation, it ensures full visibility into the code base and being free of charge.